Bulletin of the American Physical Society
2018 Annual Meeting of the APS Four Corners Section
Volume 63, Number 16
Friday–Saturday, October 12–13, 2018; University of Utah, Salt Lake City, Utah
Session J03: CMP + Materials 6: Nanostructures |
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Chair: Oliver Monti, University of Arizona Room: JFB 103 |
Saturday, October 13, 2018 8:00AM - 8:24AM |
J03.00001: Controlling light with metallic nanostructures Invited Speaker: Alejandro Manjavacas The control and manipulation of light is a long-standing scientific ambition with profound implications for the development of technology. One of the most promising routes to achieve this goal involves the use of nanostructures with dimensions comparable to the wavelength of light. Metallic systems are especially interesting due to their ability to support collective oscillations of the conduction electrons, commonly known as surface plasmons. These excitations couple strongly with light, generating very large near-fields, and therefore can be used to manipulate light below the diffraction limit. In this talk, we will review the fundamental concepts of plasmonics and discuss some interesting applications of plasmonic systems for the optical detection of molecules. |
Saturday, October 13, 2018 8:24AM - 8:36AM |
J03.00002: Finite-Size Effects on Nanostructure Arrays Lauren Zundel, Alejandro Manjavacas Metallic nanostructures have emerged as powerful tools for manipulating light at the nanoscale due to their ability to support surface plasmons. These collective oscillations of conduction electrons provide strong field confinement and enhancement, making them ideal for applications including solar energy harvesting, optical sensing, and nanoscale light emission. For practical purposes, it is typical to use ensembles of plasmonic nanostructures, such as periodic arrays. This not only results in a stronger collective response than a single nanostructure, but also allows collective behavior, such as lattice resonances, to emerge. When modeling these arrays, it is convenient to assume that the system is perfectly periodic, and therefore infinite, due to the greatly reduced computational cost of this approximation. However, any implementation of periodic arrays must be finite, and the edges of the system may drastically alter its behavior. Here, we investigate the role played by finite-size effects on the optical response of nanostructure arrays. Our results help to pave the way for improved modeling of nanophotonic devices seeking to exploit the unique properties of arrays of nanostructures. |
Saturday, October 13, 2018 8:36AM - 8:48AM |
J03.00003: Characterization of Platinum Nanoparticles Utilized in Photocatalytic Hydrogen Synthesis Daniel Wayne Boyce As energy needs grow ever greater in today's world, many scientists are investigating possible replacements for fossil fuels as an energy source. The use of hydrogen (H2) gas in particular is undergoing a significant amount of research, but a major obstacle in the use of H2 for green, environmentally-friendly fuel is the energetic and chemical requirement to synthesize the gas. |
Saturday, October 13, 2018 8:48AM - 9:00AM |
J03.00004: Resistivity of the Alumina Diffusion Barrier in Catalytic Carbon Nanotube Growth Berg Dodson, Guohai Chen, Robert Davis, Richard Vanfleet By using photolithography techniques and catalytically grown carbon nanotubes (CNTs) it is possible to fabricate high aspect ratio structures that can be used as scaffolds for MEMS devices. One drawback of making CNT structures this way is it is difficult to electrically connect to them since they are grown on an insulating alumina layer. However, previous work demonstrates that the alumina layer becomes conductive during CNT growth. Two-point probe measurements from tungsten to a CNT post in a 100 nm tungsten/50 nm alumina/CNT stack yielded 580 ± 65 Ω. I present TEM based data showing how this change in conductivity correlates with iron and carbon diffusing into the alumina layer during CNT growth. I will also show how the change in resistivity compares to what is expected in doped alumina. |
Saturday, October 13, 2018 9:00AM - 9:12AM |
J03.00005: Modeling of local magnetic ordering in magnetite nanoparticle assemblies Johnathon Rackham, Karine Chesnel, Mark Transtrum, Roger Harrison, Brittni Newbold, Steve Kotter Magnetic nanoparticles (NPs) are a vital part of many applications in biomedicine and other nanotechnologies. There is a growing interest in NP for drug targeting, MRI, and bio-separation. Magnetite NPs stand to be effective in these roles due to the non-toxic nature of magnetite and its ease of manufacture. To be more effectively applied in these applications, a greater understanding of the magnetic behavior of magnetite NPs is needed. This research seeks to discover the local magnetic ordering of ensembles of magnetite NPs occurring at various stages of the magnetization process. To complete this study, we use coherent x-ray magnetic scattering, which provides a unique fingerprint of the magnetic order in the material. I will present modeling results using a one-dimensional model of NP chains with a mix of ferro and antiferromagnetic ordering. |
Saturday, October 13, 2018 9:12AM - 9:24AM |
J03.00006: Automated Platform for Investigating Aligned Carbon Nanotube Films Joshua S Walker, Jeffrey A Fagan, Henry V Wladkowski, Thomas A Searles, Angela R Hight Walker, William D Rice The one-dimensional nature of single-wall carbon nanotubes (SWCNTs) creates highly anisotropic thermal, electrical, and optical behaviors. The incorporation of SWCNTs into solid-state devices and optoelectronics to take advantage of these anisotropic behaviors, however, requires researchers to macroscopically align SWCNT ensembles from solution. Recently, the goal of producing wafer-scale aligned nanotube films was demonstrated using a human-controlled, vacuum filtration process. Unfortunately, this has proven difficult to replicate and augment. Here, we incorporate machine vision, a pressure feedback loop, and parallelized filtration units with SWCNTs of high quality to scale-up and optimize aligned film throughput. Using this platform, we produce sets of aligned SWCNT films with differing parameters to explore the alignment mechanism. We use a host of optical techniques to determine the nematic order parameter, S, a representation of alignment. Specifically, we show that disrupting the electrostatic environment around the SWCNT via the addition of NaCl suppresses nematic ordering. This novel, automated SWCNT alignment capability provides a route for researchers to scale-up aligned nanotube film production. |
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